Non-destructive imagine of manufacturing flaws in industrial automotive powder metallurgy green and sintered parts using a novel IR thermal-wave technology

使用新型红外热波技术对工业汽车粉末冶金生坯和烧结零件的制造缺陷进行无损想象

• 批准号: 430440-2012
• 负责人: Mandelis, Andreas
• 金额: $ 8.07万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=532901
• 关键词: Non; destructive; imagine; manufacturing; flaws

This project will create new and robust non-destructive imaging (NDI) technology to assess the integrity of automotive parts manufactured by an Ontario company (Stackpole International), involving machine-pressed powder metallic compacts in the pre-sintered ("green") and sintered form. Defects associated with manufactured automotive parts (cracks, flaws) are common, hard to identify, and lead to compromised quality and road safety operating under high loads. They are also the source of significant manufacturing waste-related expenses. Conventional quality control non-destructive methods (ultrasound, eddy currents, x-rays) are not capable of identifying common flaws in green parts. Infrared detection is the only known method capable of testing green state compacts under realistic industrial conditions. Therefore, the overall objective of this research is the development of a mid-infrared thermal-wave radar imaging (TWRI) technique recently pioneered in the PI's laboratory into a fast NDI technology of green and sintered powder metallic automotive components. The proposed technology will have significantly higher contrast and subsurface flaw detectivity (image contrast dynamic range) than today's infrared thermographic imaging systems. The reliability of the TWRI technology will be tested with flaws typical of Stackpole's manufacturing products and will be optimized with respect to minimum detectable crack size, depth and width (axial and lateral spatial resolution, respectively). The speed of data acquisition vs. image quality will be investigated under simulated production conditions. The proposed NDI technology can potentially lead to a breakthrough in on-line quality control for automotive and other manufacturing environments. The Project represents a true University-Industry team effort offering a unique research-to-application experience for trainees at all levels as well as participating members of the University and Manufacturing Industry sectors who already recognize the commercialization potential of the IP to be generated.

该项目将创建新的和强大的非破坏性成像（NDI）技术，以评估由安大略公司（斯塔克波尔国际）制造的汽车零部件的完整性，涉及预烧结（“绿色”）和烧结形式的机压粉末金属压块。与制造的汽车零件相关的缺陷（裂纹、瑕疵）很常见，难以识别，并导致在高负荷下运行的质量和道路安全性受损。它们也是大量制造废物相关费用的来源。传统的质量控制非破坏性方法（超声波、涡流、X射线）无法识别绿色零件中的常见缺陷。红外检测是唯一已知的能够在实际工业条件下测试绿色状态压块的方法。因此，本研究的总体目标是发展中红外热波雷达成像（TWRI）技术，最近在PI的实验室率先进入快速无损检测技术的绿色和烧结粉末金属汽车部件。所提出的技术将有显着更高的对比度和表面下的缺陷检测能力（图像对比度动态范围）比今天的红外热成像系统。TWRI技术的可靠性将通过斯塔克波尔制造产品的典型缺陷进行测试，并将在最小可检测裂纹尺寸、深度和宽度（分别为轴向和横向空间分辨率）方面进行优化。将在模拟生产条件下研究数据采集速度与图像质量。拟议的NDI技术可能会导致汽车和其他制造环境的在线质量控制的突破。该项目代表了真正的大学-产业团队的努力，为各级学员以及已经认识到将产生的知识产权的商业化潜力的大学和制造业部门的参与成员提供独特的研究应用经验。